Human-AI Collaboration

Latest papers 429

46 papers in the last four weeks, up 5% on the four weeks before. 0.3% of all new papers.

From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning
Apr 17, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1LLM Safety Alignment Human Oversight of AI
Faculty of Medicine, Lund University, Sweden · Department of Economics, Lund University School of Economics and Management, Sweden · Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, UK
From Intention to Text: AI-Supported Goal Setting in Academic Writing
Apr 17, 2026Yueling Fan, Richard Lee Davis, Olga VibergHuman-AI Collaboration
Department of Media Technology and Interaction Design, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Digital Learning, KTH Royal Institute of Technology, Stockholm, Sweden · Digital Futures, Stockholm, Sweden
"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
Apr 16, 2026Yang Wu, Jinhong Yu, Jingwei Xiong +2AI-Assisted Scientific Research LLM Agents
Worcester Polytechnic Institute, Worcester, MA, USA · University of California, Davis, CA, USA · Jiangsu University, Zhenjiang, Jiangsu, China
CoGrid & the Multi-User Gymnasium: A Framework for Multi-Agent Experimentation
Apr 16, 2026Chase McDonald, Cleotilde GonzalezHuman-AI Interaction Multi-Agent Systems
Department of Social and Decision Sciences · Carnegie Mellon University
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem
Apr 16, 2026Till Mossakowski, Helena Esther GrassAI Alignment AI Agent Governance
Institute of computer science, Osnabrück University · Institute of philosophy, Oldenburg University
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
Apr 16, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1AI Governance Human-AI Collaboration
Faculty of Medicine, Lund University, Sweden · Department of Economics, Lund University School of Economics and Management, Sweden · Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, UK
The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
Apr 16, 2026Hyunwoo Kim, Harin Yu, Hanau YiHuman-AI Interaction Human-AI Collaboration
ddai Inc.
The Agentification of Scientific Research: A Physicist's Perspective
Apr 16, 2026Xiao-Liang QiAI for Science AI Agents for Scientific Discovery
Leinweber Institute for Theoretical Physics, Stanford University, Stanford, CA 94305, USA
AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
Apr 15, 2026Joydeep Biswas, Sheila Schoepp, Gautham Vasan +10Scholarly Peer Review Automated Peer Review
Department of Computer Science, The University of Texas at Austin · Department of Computing Science, University of Alberta · Department of Electrical Engineering and Computer Science, University of Michigan +5
Cognitive Offloading in Agile Teams: How Artificial Intelligence Reshapes Risk Assessment and Planning Quality
Apr 15, 2026Adriana Caraeni, Alexander Shick, Andrew LanCognitive Offloading Human-AI Collaboration
University of Massachusetts Amherst
Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
Apr 15, 2026Dhruv Sahnan, Subhabrata Dutta, Tanmoy Chakraborty +2Automated Fact-Checking Human-AI Collaboration
MBZUAI, UAE · TU Darmstadt, Germany · IIT Delhi, India
Are Researchers Being Replaced by Artificial Intelligence?
Apr 14, 2026Angelo A. Salatino, Ansgar Scherp, Christin Katharina Kreutz +1AI and Labor Human-AI Collaboration
Knowledge Media Institute, The Open University, UK · Ulm University, Germany · TH Mittelhessen – University of Applied Sciences, Germany +1
DeferredSeg:A Multi-Expert Deferral Framework for Medical Image Segmentation
Apr 14, 2026Qiuyu Tian, Haoliang Sun, Yunshan Wang +2Medical Image Segmentation Learning to Defer
Toward Human-AI Complementarity Across Diverse Tasks
Apr 13, 2026Yuzheng Xu, Annya Dahmani, Matthew D. Blanchard +13Human-AI Decision Making Human-AI Collaboration
The University of Tokyo · UC Berkeley · University of Sydney +6
Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering
Apr 12, 2026Samuel Ferino, Rashina Hoda, John Grundy +1Human-AI Collaboration AI-Assisted Software Development
Monash University Melbourne, Australia · Singapore Management University Singapore City, Singapore
Cooperation in Human and Machine Agents: Promise Theory Considerations
Apr 12, 2026M. BurgessMulti-Agent Collaboration Human-AI Collaboration
ChiTek-i AS
From Instructor to Collaborator: What a 90-Participant Study Reveals about Human-Agent Collaboration in a Mobile Serious Game
Apr 10, 2026Danai KorreConversational Agents Human-AI Collaboration
University of Bedfordshire
AI-Induced Human Responsibility (AIHR) in AI-Human teams
Apr 10, 2026Greg Nyilasy, Brock Bastian, Jennifer Overbeck +1AI Accountability Human-AI Decision Making
Department of Management and Marketing, Faculty of Business and Economics, the University of Melbourne, 198 Berkeley St, Carlton, VIC 3053, Australia · School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, the University of Melbourne, Parkville, VIC 3010, Australia · Melbourne Business School, the University of Melbourne, 200 Leicester St, Carlton, VIC 3053, Australia
Human-AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-Regulation
Apr 9, 2026Yujing Zhang, Xianghui Meng, Shihui Feng +1Human-AI Collaboration Generative AI in Education
The University of Hong Kong, Hong Kong SAR, China · Carnegie Mellon University, Pittsburgh, PA, USA · Monash University, Clayton, VIC, Australia
From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants
Apr 9, 2026Valdemar Danry, Javier Hernandez, Andrew Wilson +2Multimodal Agents Human-AI Collaboration
Microsoft Research Cambridge, MA, USA · MIT Media Lab Cambridge, MA, USA · Microsoft Research Cambridge, Massachusetts, USA
The Accountability Horizon: An Impossibility Theorem for Governing Human-Agent Collectives
Apr 9, 2026Haileleol Tibebu, Hewan ShemtagaAI Agent Governance Algorithmic Accountability
University of Illinois at Urbana-Champaign, Champaign, IL, USA · Responsible Intelligence Institute, Addis Ababa, Ethiopia
Why teaching resists automation in an AI-inundated era: Human judgment, non-modular work, and the limits of delegation
Apr 8, 2026Songhee HanAI in Education Generative AI in Education
Florida State University, Tallahassee, FL 32306, USA
Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration
Apr 8, 2026Haichang Li, Qinshi Zhang, Piaohong Wang +1Human-AI Interaction Human-AI Collaboration
George Mason University Fairfax, Virginia, USA · University of California, San Diego San Diego, California, USA · City University of Hong Kong Hong Kong, China
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
Apr 6, 2026Shalaleh Rismani, Su Lin Blodgett, Q. Vera Liao +2Human Oversight of AI Human-AI Collaboration
McGill University Montréal, Canada · University of Michigan Ann Arbor, Michigan, USA
AI Assistance Reduces Persistence and Hurts Independent Performance
Apr 6, 2026Grace Liu, Brian Christian, Tsvetomira Dumbalska +2Human-AI Interaction Human-AI Collaboration
Carnegie Mellon University · UC Berkeley · University of Oxford +2
Exploring how EFL students talk to and through AI to develop texts
Apr 6, 2026David James Woo, Yangyang Yu, Yilin Huang +3Human-AI Collaboration Generative AI in Education
Everwrite Limited, Hong Kong, China · Shanghai Jiao Tong University, Shanghai, China · The Education University of Hong Kong, Hong Kong, China +2
Gradual Cognitive Externalization: From Modeling Cognition to Constituting It
Apr 6, 2026Zhimin ZhaoCognitive Offloading Human-AI Collaboration
Software Analysis and Intelligence Lab (SAIL), Queen’s University
Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration
Apr 5, 2026Elias CalboreanuLLM Context Management Human-AI Collaboration
Swift North AI Lab, The Swift Group, LLC, Maryland, USA.
Chronos: The AI Co-Historian
Apr 4, 2026Lorenz Hufe, Niclas Griesshaber, Gavin Greif +5Historical Document Analysis AI-Assisted Scientific Research
Fraunhofer HHI · University of Oxford · The Alan Turing Institute +2
Incentives shape how humans co-create with generative AI
Apr 4, 2026Nathanael Jo, Manish RaghavanHuman-AI Collaboration Human-AI Co-Creation
Massachusetts Institute of Technology

Apr 17, 2026J/K move · Enter open · S save

From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning

Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke, Martin McKee

Faculty of Medicine, Lund University, Sweden · Department of Economics, Lund University School of Economics and Management, Sweden · Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, UK

LLM Safety Alignment Human Oversight of AI Human-AI Collaboration

Open paper AskPDF arXiv

Large language models (LLMs) have transformed how humans access information, but not how we reason with it. Their fluency accelerates consumption while bypassing the slow, reflective processes that underpin sound judgment. This paper introduces Relational Reflective Intelligence (RRI), an inference-time governance layer that operationalizes reflection through auditable reasoning loops. RRI operates not inside the model but around it, providing a practical structure for stable, auditable reasoning between humans and LLMs. The core premise is that LLMs inherit cognitive vulnerabilities similar to those that shape human thought: reliance on intuitive shortcuts, confusion between representation and reality, and a preference for coherence over falsification. When humans and models share these tendencies, their errors compound. We refer to this as relational drift, a failure that arises from interaction rather than from the model alone. Addressing this requires a shift from modeling relations between words to structuring relations between model outputs and human reasoning. RRI provides this missing layer through three components: the Rose-Frame, which identifies likely breakdowns in reasoning; the Architect's Pen, which introduces targeted reflection steps at critical moments; and an inference-time workflow that embeds these steps without retraining the model. Together, these elements transform human-AI interaction into a joint reasoning system with explicit checkpoints, conflict surfacing, and an auditable trail of assumptions. Rather than making machines think like humans or forcing humans to reason like machines, RRI creates a structured interaction in which both compensate for each other's limitations. It reframes AI safety as a cognitive architecture problem, where reliable decisions depend on embedding reflection directly into the interaction process.